Logistics industry, as one of the industries with high carbon emissions, has become the focus of all parties while developing rapidly. Based on panel data, the total carbon emissions of logistics industry in China from 2000 to 2016 were calculated by using IPCC method. On this basis, the LMDI decomposition model is used to decompose the influencing factors of carbon emission from five aspects: carbon emission coefficient, energy intensity, energy structure, economic level and population size. Finally, using MATLAB tools to analyze the data. Results show that economic growth is the main factor to promote carbon emissions in logistics industry, followed by the positive impact of population size and energy structure. The carbon factor effect is negligible, energy intensity is the main restraining factor. The effect of various factors on carbon emissions varies from time to time. Therefore, we should speed up the adjustment of energy structure, reduce the dependence on high‑carbon emissions such as coal, optimize transportation system and improve logistics efficiency; at the same time, strengthen the cooperation between the government and enterprises, formulate feasible policies and measures, and do a good job in top-level planning and design of logistics, make our logistics industry embark on the road of low-carbon development.
J. F. Mendoza, M. Sharmina, A. Gallego‐Schmid
et al.
The circular economy (CE) is essential for decoupling economic growth from resource consumption and environmental impacts. However, effective implementation requires a systemic change across supply chains, involving both technological and nontechnological innovations. Frameworks are beginning to emerge to foster CE thinking in organizations. However, literature review carried out as part of this research has revealed gaps in their ability to fulfil CE requirements. Furthermore, few frameworks provide support on how CE requirements may be implemented. To address these issues, this article presents a new framework, BECE (backcasting and eco‐design for the circular economy), to ensure that businesses can implement CE requirements more readily. BECE empowers organizations to tackle the CE holistically by embedding the concept into corporate decision making and by bringing operational and systems thinking together, thus increasing the likelihood of successful implementation. The potential of the BECE framework was tested through a pilot workshop focusing on the development of a CE business model through redesign of products and supply chains. Using vacuum cleaners as an illustrative case study, several product design and supply‐chain alternatives were identified, including the development of scenarios and action plans for their implementation at the business level. Although the case study focuses on a particular product, the BECE framework is generic and applicable across different products and business sectors.
This study aims to analyze qualitative factors that influence Indonesia's economic growth, including the quality of human resources, innovation, government policies, the manufacturing sector, and community empowerment. This study employs a qualitative approach with data collection through in-depth interviews, participant observation, and document analysis. The data collected were analyzed using thematic coding techniques to identify relevant patterns and themes. The findings indicate that high quality human resources, innovation, and supportive government policies play a crucial role in economic growth. Improving workforce competency through training contributes to productivity and economic growth. The manufacturing sector provides significant value added, absorbs labor, and encourages innovation. Community empowerment in business development, such as tourism and agrotourism, has a positive impact on local income and welfare. This study emphasizes the need for collaboration between the government, private sector, and communities to achieve more inclusive and sustainable economic growth.
Abstract Understanding land use and land cover change (LULCC) is essential for analyzing human-environment interactions. Manipur, located in Northeast India, is particularly sensitive to LULCC due to its ecological diversity and increasing anthropogenic pressures. This study systematically reviews existing literature to examine the trends, drivers, and implications of Land use and land cover (LULC) dynamics in the region. The review is based on 30 peer-reviewed studies selected through the ICA framework. Empirical studies focused on LULC within Manipur’s geographical boundary were included. Findings reveal an accelerated rate of LULC transformation across the state. Valley districts, including Imphal East, Imphal West, and Thoubal, show rapid urban expansion accompanied by significant declines in agricultural land, forests, and wetlands. In contrast, the hill districts like Ukhrul and Senapati display mixed patterns, with both forest degradation and notable regeneration reflecting conservation and afforestation efforts. Remote sensing and GIS were the primary tools used in these studies to detect land cover shifts and assess spatio-temporal patterns. Interconnected drivers such as population growth, infrastructure development, and economic activity continue to shape LULC transitions with considerable implications for air quality, land surface temperature, biodiversity, and ecological stability, particularly affecting sensitive zones such as Loktak Lake. This review underscores a notable research gap, characterized by the limited academic focus on hilly regions, and insufficient investigation into the underlying drivers and their socio-economic impacts. Bridging these gaps requires the integration of remote sensing data with socio-economic insights. The study examines the importance of implementing region-specific land management strategies, ecological restoration, and sustainable urban planning to enhance environmental resilience across the state.
This paper explores the recently announced “Green New Deal” policy of South Korea as a sustainability transition strategy. Originally proposed as a post-COVID-19 stimulus plan, the Green New Deal is a sustainability-centered strategy for building a low-carbon and climate-neutral economy. The Green New Deal sets out eight targets to be accomplished under three strategic areas: green urban development, low-carbon decentralized energy, and innovative green industry. The Deal also takes measures to protect the people and sectors at a higher risk of being left behind in the process of the economic transition. It is an upgraded version of the “Green Growth” national policy, with more emphasis on sustainability in addition to the growth aspect. This paper will examine the accomplishments and challenges during the Green Growth policy era and argue why the transition to the new Green New Deal is necessary for a sustainability transition.
PurposeInnovation is regarded as a crucial determinant of growth and development in South Africa, and small, medium and micro enterprises (SMMEs) have been earmarked as instruments for the achievement of the socio-economic goals and innovation as set out in the National Development Plan. The purpose of this study is to investigate the effect of innovation on SMME performance in South Africa.Design/methodology/approachThe empirical analysis was conducted using the quantile regression technique to examine the effect of innovation on the performance of firms at different sales levels. Data from the World Bank's enterprise survey was used for the analysis.FindingsThe results of the empirical analysis showed that R & D expenditures have a positive and significant effect on performance for firms with higher sales (high growth or larger firms). There is evidence that the introduction of new products/services promotes performance for low growth/ smaller firms.Practical implicationsThe empirical results imply that innovation is crucial for SMMEs’ development and growth. However, smaller/low growth firms are not able to spend on R & D due to a lack of funds which could be the reason for their low survival rate. More support needs to be provided to smaller firms with lower sales growth, given the large financial outlay required for R & D expenditures. Despite the lack of funding for R & D expenditure, smaller firms are encouraged to introduce new products and methods of production that do not require major financial outlays.Originality/valueThere is scant empirical evidence on the impact of innovation on firm performance in South Africa. Most studies investigate the challenges faced by SMMEs and the different types of innovation approaches used by firms. Furthermore, the study employs the quantile regression approach which highlights the effect of innovation on firms of different sizes.
One of the indicators that measures the economic development of a territory is its infrastructural endowment (road, rail, etc.). The presence of roads, railways, and airports are essential elements in creating the optimal conditions for the establishment or development of productive activities and economic growth; and also to generate benefits. However, the presence of infrastructure can have strong impacts on the environment and the living conditions of the population and infrastructure can be subject to actions related to contrast and opposition. Therefore, in parallel with the economic and environmental sustainability assessment, it is essential to decide whether or not to build new infrastructure. In addition, social sustainability is also pursued on the basis of an assessment that takes into account various aspects that relate the work to the population, also in order to identify the most satisfactory design solution. Alongside the adopted methodology, the assessment must be identified suitable criteria which are capable of taking into account the various impacts generated by the infrastructure, not only of an economic and environmental type, but also social and attributed relative importance (or weight) that is congruous with the correct balance of the three aspects of sustainability. This contribution deals with the identification of criteria for assessing the social sustainability of infrastructure projects, by taking as reference the 24 infrastructure projects in the planning and construction phase in the Liguria Region that make use of the Regional Law n. 39/2007 on the “Regional Strategic Intervention Programs—P.R.I.S.” (Regional Strategic Intervention Programs); which guarantees citizens affected by the infrastructure. In this research work, the selection is performed through the involvement of local stakeholders as well as the subjects and institutions that operate within the decision-making process of a work (designers, technicians from public administrations). The selected criteria are then weighted through the pairwise comparison method used in the multi-criteria technique of ThomasSaaty—Analytic Hierarchy Process (AHP). The goal is to identify the useful criteria for assessing social sustainability and the weights attributed by the various parties involved in the decision-making process by citizens directly or indirectly affected by the infrastructure.
Sustainable urbanization policies and strategies are posited as a major tool by which to achieve the sustainable development of growing towns and cities. A major challenge for sustainable urbanization policies and strategies is how to address the complexity of urbanization, especially the ongoing growth of informal settlements and slums in developing countries. It is acknowledged that those living their lives in such housing and settlements suffer greater levels of spatial, economic and social exclusion from the benefits of urbanization that other segments of the urban population. Using a case study approach, this paper examines the range of challenges associated with the growth of informal settlements and slums, seeking to understand how they are positioned via upgrading policies in city urbanization plans and strategies in Indonesia’s third largest city, Bandung. The research finds that there has been a shift in kampung and slum upgrading policy from in-situ solutions to vertical housing towers which appear incompatible in accommodating the way of life practiced in kampung adaptive urbanism contexts. The manner in which city governments manage informal settlements and slums by seeking to reshape and restructure the lifestyles of residents to align with formal market measures has a major impact on existing disadvantaged communities. The paper concludes with a call for greater leadership, political commitment and recognition of contextual responses when developing slum upgrading policies set within urbanization policies and strategies branded as sustainable.
Since China is facing a complicated international situation and sustainable development requirement at the same time, this paper examines the effects of external uncertainty, international sanctions, on green innovations by adopting the system generalized method of moments (GMM) estimation for 30 provinces (autonomous region and municipalities) from 1997 to 2019. We employ green inventions as the dependent variable and 5 indicators of sanctions (including unilateral, plurilateral, multilateral, economic, and intensity) as the main explanatory variables alternately. For further robustness tests, we use substitution variable green utility models, adopt sub-samples in different regions, change the empirical methodology, and add omitted variables. We also examine the mechanism effects of three possible channels. The conclusion is that plurilateral and economic sanctions both present significant negative impacts on green innovations, whereas China was not affected by unilateral or multilateral sanctions during the sample period. GDP, interpersonal globalization, and environment are proved to be the possible channels through which sanctions affect green innovations. Our research findings should assist Chinese-listed companies suffering from sanctions to make better responses on their way to green innovations.
First published online 24 November 2022
Sedigheh Rezaiyan Fardoie, Ebrahim Farbod, Shadi Abbaspour
et al.
Objective: With the spread of the global coronavirus and the loss of traditional businesses, many businesses around the world have focused on selling and providing their services online. Digikala Company is also trying to provide services to all compatriots throughout Iran, as in previous waves of the epidemic. The purpose of this study is to investigate the impact of pandemic on the business of Digikala Company and its modeling.Method: The statistical population of this research is large-scale retail companies in Iran, and Digikala Company has been selected as one of the most important retail companies in Iran as a statistical sample using available sampling method. The data collection of the research variables has been done based on the performance of the Digikala company during the Corona era. Statistical data analysis is done using SPSS26 software. In the inferential statistics section, one-sample t-test using the bootstrap method is used. The bootstrap method is used when the sample size is very small and the distribution of the data is not clear (Farbad et al., 2019) and also from the two-sample t-test to compare the components of e-commerce identified, which include the components of demand and human resources, sales center and volume. Transactions before and after Corona, the Friedman test, which is a non-parametric test, is used to rank the components. The validity of the proposed e-commerce model of DigiKala company is checked using the method of variance-oriented structural equations or partial least squares, which is based on the bootstrap method, in SMARTPLS3.3.3 software.Results: A one- sample Bootstrap t-test was used to identify the factors affecting e-commerce in this company and a conceptual model including operating force absorption, processing, sales centers and the number of transactions of goods affecting e-commerce was proposed. The validity and reliability of the model were confirmed by combined Cronbach's alpha criteria, mean of variance square and convergence validity. Finally, the number 0.89 for the goodness index confirmed the adequacy fit of the proposed model.Conclusion: Due to the corona epidemic conditions, online businesses such as Digikala Company, by considering the influential variables in e-commerce, have succeeded in attracting more power, higher transaction and more revenue in this field, which the research also shows that Is the subject. Structures affecting e-commerce in Digikala during the Corona era along with the impact of the influencing variables were identified and evaluated using the t-test and Friedman's test using the bootstrap method. Finally, according to the highest importance factor, the structure of the sales center was prioritized. After identifying the components, the validity and reliability of the proposed model was checked by the variance-based structural equation test, so that the goodness of fit criterion confirmed the appropriate fit of the model, and the root mean common variance and composite reliability indicators confirmed the validity and reliability of the model.Due to the damage of Corona to businesses, many companies have been forced to downsize their organization and reduce and adjust their human resources, but according to the research conceptual model and the variables examined in the research of many large internet businesses in the world. Like Amazon and Ebay, and including the Digikala company, have prospered in Iran, so that they have faced the increasing demand from their customers.Therefore, to meet the needs of its customers, Digikala not only did not reduce the workforce, but also had to recruit and recruit human resources; On the other hand, due to this increase in the volume of demand, the company has increased its relationship with the sales centers in order to supply its customers' goods and send them, this has caused the amount of financial transactions of this company to grow dramatically, in such a way that it is forced to develop and to expand its hardware and software infrastructures. that the analyzes carried out also show this importance.Considering the current conditions of the society and the increasing growth of technology in the global arena, for further investigation in the future, in addition to the above variables, we can examine other variables such as: the level of access of people in the society to computers or smart systems, the level of Internet literacy of the society (web and related software), the effect of internet speed, the variety of services and products, speeding up transportation, examining the competitive advantage of the company in the field of online payment business, and according to the findings and results of the analysis, solutions and suggestions for prosperity and improvement and provided the development of this organization. It is also suggested that the variable of Internet access and other variables forming demand can be proposed in future studies as variables of new research and as innovation of the model.
Economic history and conditions, Economic growth, development, planning
Muhammad Shahbaz, Muhammad Shafiullah, Usman Khalid
et al.
Energy resources are an important material foundation for the survival and development of human society, and the relationship between energy and economy is interactive and complementary. This paper analyzes the energy consumption–economic growth nexus in Chinese provinces using novel and recent nonparametric time-series as well as panel data empirical approaches. The dataset covers 30 provinces over the period of 1980-2018. The empirical analysis indicates the presence of a nonlinear functional form and smooth structural changes in most of the provinces. The nonparametric empirical analysis validates the presence of a nonlinear unit root problem in energy consumption and economic growth, and nonlinear cointegration between the variables. Additionally, the nonparametric panel cointegration test reports evidence of convergence in energy consumption and economic growth patterns across the provinces. The nonparametric regression analysis finds economic growth to have a positive effect, on average, on energy consumption in all provinces, except for Beijing. Further, the energy environmental Kuznets curve exists between economic growth and energy consumption in 20 out of 30 Chinese provinces. The Granger causality analysis reveals the presence of a mixed causal relationship between economic growth and energy consumption. The empirical findings have important implications for Chinese authorities in planning for improving energy efficiency, decoupling between economic growth and energy consumption, and reducing the environmental footprint of provinces.
Abstract Today, China's inner-city redevelopment has evolved into the neoliberalism phase, which is characterized by market orientation, privatization, commodification, and short-term returns; this phase generally involves massive demolition and eviction, resulting in serious conflicts between land-based economic growth, heritage conservation, and social justice. The local community is susceptible to social, cultural, and economic impacts of redevelopment, as well as heritage conservation activities. Thereby, the perspectives of residents on these two components of the urban development agenda help to re-examine the demolition–conservation controversy from the perspective of social well-being. Based on an in-progress case in Tianjin, this study clarifies the multi-faceted paradox posed by the demolition–conservation dichotomy at the locality level. Further, the study performs an ex-ante investigation on the needs, concerns, and attitudes of the local community and dissects related contradictions with the local government's rationale for redevelopment, which is a prerequisite for facilitating responsive and democratic urban planning.
When cities in the global north are considered environmental sustainable, this largely depends on how one measures emissions and understands space. Production-based and consumption-based approaches are two different ways of measuring emissions, but they are not simply measuring techniques: they relate also to different interests, they hide and reveal power relations, and they come with very different spatial implications. In this paper, we examine the Swedish city of Malmö, and the city district of Western Harbour in particular, which is often considered an environmental ‘role model’. We argue that this reputation depends precisely upon how we understand space and measure emissions. We argue that so-called sustainable cities and city districts in the global north can only be considered environmental role models if one chose to ignore the fact that they completely depend upon emissions being emitted elsewhere, and ignore any relation between affluence and emissions.
Most developing nations have embarked on a path to rapid economic growth. This has meant soliciting for many development projects which are meant to bring rewards: in increased industrial productivity. The hope is that these projects will increase the incomes of the people and cut down on unemployment. However past experiences have shown that these major development projects created with the aim of producing enormous socio-economic benefits, have also produced adverse environmental impacts. Some of these impacts are irreversible and the damage to the environment has been total. So in order to minimize the unintended negative externalities of these projects on the environment, there has to be some means of identifying the impacts of projects before they are embarked upon so that any adverse effects which the projects may produce on: the environment can be rectified or an alternative method which docs not damage the environment is worked out:. Environmental Impact Assessment (EIA) is the technique used to identify the likely impacts of a development project on the environment. Ideally this activity of EIA should be carried out at the early planning stages of projects. When carried out effectively, it will help to identify the probable facets of environmental degradation which will be due to the development activities. This technique provides the decision-makers with an insight into the environmental implications of proposed development projects and their alternatives. It will provide the decision maker with information on the environmental, health, and socio-economic impacts of an intended development project. The implication is that this technique should be an integral part of development plans and is an important decision making tool for all projects if damage to the environment is to be avoided. This paper is meant to acquaint students with EIA as a decision making tool in development planning. It covers all aspects relating to EIA activities from the objectives and scope of EIA; EIA methods; institutional set-up ; and the Zimbabwe situation as far as this activity is concerned. The environment in this paper is taken to mean the set of conditions surrounding an individual or event. These conditions could be physical, biological or socioeconomic in nature. The paper focuses on the technique used to identify impacts of development projects on these various facets of the environment. Those in the planning profession, decision makers and project planners will find this paper useful.
The United States had a $14 billion seafood trade deficit in 2016, importing more than 2.5 million tons of edible fishery products, 90% of the value of the seafood Americans eat (1). Half of those seafood imports are from aquaculture (2). Meanwhile, demand in the United States for local, fresh, and sustainably produced seafood is growing, and the absence of sufficient local supply to meet this demand clearly represents a lost opportunity for sustainability and economic growth. Expanded domestic seafood production in the United States could promote significant economic development and job creation. Yet, wild-fishery production has only a relatively modest potential for sustainable growth. Aquaculture, therefore, represents the only realistic option for expanding domestic production (3). Indeed, the vast expanses of favorable growing areas with suitable depths, current speeds, temperatures, and access to ports give the United States some of the highest offshore aquaculture production potential in the world (4). And yet, despite huge potential benefits in terms of a reduced trade deficit, local job and revenue creation, and a domestic source of safe and sustainable seafood, marine aquaculture production in the United States lags far behind many other countries worldwide. This failure to realize offshore aquaculture potential is partially attributable to reasonable concerns over environmental impacts and the lack of a streamlined, objective, and predictable policy framework for offshore aquaculture permitting and regulation. The key to addressing both is scientifically informed, proactive spatial planning that identifies optimal locations for sustainable aquaculture development. This type of spatial planning could minimize negative environmental, social, and economic impacts on marine ecosystems and coastal communities while reducing uncertainty for investors and the industry. The opportunity is right beyond our shores. We just need to seize it. Aquaculture is the fastest-growing food-production sector globally (5) and is increasingly seen as an important … [↵][1]1To whom correspondence should be addressed. Email: slester{at}fsu.edu. [1]: #xref-corresp-1-1